Welcome to our dedicated page for Radnet news (Ticker: RDNT), a resource for investors and traders seeking the latest updates and insights on Radnet stock.
RadNet, Inc. reports recurring developments in outpatient diagnostic imaging, digital health, and radiology technology. The company operates owned and managed imaging centers that provide MRI, CT, PET/CT, mammography, ultrasound, X-ray, fluoroscopy, nuclear medicine, and related procedures for physicians and patients across U.S. markets.
RadNet news commonly covers financial results, imaging-center procedure volumes, guidance updates, joint ventures, acquisitions, and customer or technology collaborations. Its Digital Health segment includes DeepHealth, which provides radiology information technology, AI-powered health informatics, clinical AI applications, patient engagement tools, operational AI, teleradiology services, and related products for the diagnostic imaging industry.
RadNet (NASDAQ: RDNT), a national leader in diagnostic imaging services, has scheduled its fourth quarter 2024 financial results conference call for Friday, February 28, 2024 at 7:30 a.m. Pacific Time (10:30 a.m. Eastern Time). Investors can participate by dialing 844-826-3035 (US) or 412-317-5195 (International). The company will provide simultaneous and archived webcasts of the call, accessible through their dedicated webcast platform. An archived replay will be available via phone using the passcode 10197109.
RadNet (NASDAQ: RDNT), a leading provider of outpatient diagnostic imaging services, has announced its participation in the 43rd Annual J.P. Morgan Healthcare Conference in San Francisco. The presentation will take place on Wednesday, January 15th, 2025, at 3:00 p.m. PST at The Westin St. Francis Hotel.
Key executives participating in the presentation include Dr. Howard Berger (President and CEO), Mark Stolper (EVP and CFO), and Dr. Gregory Sorensen (EVP and Chief Science Officer). The presentation will be available via live webcast and can be accessed through the provided link for replay viewing.
DeepHealth, a subsidiary of RadNet (RDNT), has chosen Ketryx to accelerate its AI-powered health informatics solutions development. The partnership aims to streamline radiology workflows and enhance care delivery through DeepHealth's cloud-native operating system. According to FDA data, 79% of newly approved devices in radiology utilize AI/ML technologies.
DeepHealth will leverage Ketryx's connected lifecycle management software to accelerate product development while maintaining quality and compliance. The integration with tools like Jira and GitLab enables automated documentation and end-to-end traceability, helping expedite innovative product releases while adhering to regulatory requirements.
RadNet (NASDAQ: RDNT), a leading provider of diagnostic imaging services, has announced its participation in the BofA Securities 2024 Leveraged Finance Conference. Mark Stolper, Executive Vice President and CFO, will present at the conference in Boca Raton, FL on December 3, 2024, at 8:10 a.m. Eastern Time (5:10 a.m. Pacific Time).
The presentation will be accessible through simultaneous and archived webcasts available on both the BofA conference platform and RadNet's corporate website under the 'About RadNet' section and 'News and Press Releases' sub-menu.
DeepHealth, RadNet's subsidiary, launches new AI-powered solutions at RSNA 2024, including the cloud-native DeepHealth OS, Diagnostic Suite™, and TechLive™. The company introduces SmartTechnology™ solutions, featuring SmartMammo™ and SmartSonography™, developed in collaboration with GE HealthCare and Siemens Healthineers. These innovations aim to enhance imaging-based diagnosis, population health screening, and operational efficiency. The company has established strategic partnerships with industry leaders including CARPL.ai, TeraRecon, and Google to scale these solutions. Currently, DeepHealth's solutions are utilized by over 800 clinical sites and 3,000 radiologists worldwide.
Siemens Healthineers and DeepHealth, a RadNet subsidiary (NASDAQ: RDNT), announced a strategic collaboration to enhance ultrasound operations through AI-powered SmartTechnology™. The partnership combines Siemens' Acuson Sequoia ultrasound system with DeepHealth's SmartSonography™ solution to address workforce shortages and operational challenges. The technology includes a remote-acquisition platform for real-time scanning and monitoring, plus a cloud-native enterprise viewer for improved diagnostic accuracy. The collaboration aims to reduce scan time, decrease operator variability, and enable better patient care through standardized protocols and enhanced imaging capabilities.
Maverick Medical AI has completed deploying its real-time autonomous AI-powered medical coding solution across all 399 RadNet (NASDAQ: RDNT) sites. The mCoder solution, which uses deep learning and synthetic data generation, has processed over 10 million medical reports to date, generating reimbursement codes in real-time. RadNet plans to implement Maverick CodePilot™ into radiologists' workflow, enabling them to resolve coding-related issues before signing reports. The implementation has significantly increased RadNet's direct-to-bill rate, reducing errors, avoiding billing backlogs, and easing administrative burden.
RadNet's subsidiary DeepHealth has announced a strategic collaboration with CARPL.ai to develop an advanced AI control system for image interpretation in radiology. The partnership aims to create a monitoring system for AI performance, safety, and scalability, integrating CARPL.ai's AI orchestration capabilities with DeepHealth's cloud-native operating system. The system will automate the measurement of performance metrics such as specificity, sensitivity, and model drift, while enabling radiologists to access and monitor FDA-cleared AI models within their workflows.
RadNet's DeepHealth has received expanded FDA 510(k) clearance for its SmartMammo Dx AI algorithm to be compatible with GE HealthCare's Senographe Pristina™ mammography systems. This expansion follows the initial FDA clearance in May 2021 for HOLOGIC systems. The AI-powered software helps identify suspicious soft tissue lesions and calcifications in digital breast tomosynthesis mammograms, assigning specific suspicion levels with enhanced diagnostic accuracy.
The technology has already supported millions of exams through RadNet's Enhanced Breast Cancer Detection program. This new clearance advances DeepHealth's mission to enhance breast cancer screening programs by broadening system compatibility and improving clinical accuracy, operational efficiency, and patient care.
RadNet's DeepHealth subsidiary has received expanded FDA 510(k) clearance for its SmartMammo Dx AI algorithm, making it compatible with GE HealthCare's Senographe Pristina™ mammography systems. The software, which helps identify suspicious soft tissue lesions and calcifications in digital breast tomosynthesis (DBT) mammograms, was previously cleared for use with HOLOGIC systems in May 2012. The technology has already supported millions of exams through RadNet's Enhanced Breast Cancer Detection program and aims to improve cancer detection accuracy, operational efficiency, and patient care through AI-powered screening.